Journal of Future Generation of Communication and Internet of Things
Volume:2 Issue: 3, Jul 2023

The rapid evolution of healthcare technology has witnessed the emergence of the Internet of Things (IoT) as a transformative force in the field of medical engineering. This article delves into the intricate world of IoT applications within medical engineering, exploring its vast potential to reshape patient care, diagnosis, treatment, and healthcare management. The IoT ecosystem in medical engineering forms a complex network of interconnected devices, enabling seamless communication and data exchange. From remote patient monitoring to predictive analytics and efficient resource allocation, the applications of IoT are wide-ranging and impactful. Despite its promises, challenges such as data security, interoperability, and regulatory compliance must be addressed. The article also envisions the future of IoT in medical engineering, highlighting the integration of artificial intelligence, enhanced healthcare accessibility, real-time interventions, and personalized healthcare. As the boundaries of technology continue to expand, the convergence of IoT and medical engineering promises to revolutionize healthcare delivery and elevate patient outcomes to unprecedented levels

Humans have always needed health care and these cares are mostly done in a laboratory or clinic, but nowadays, due to the high cost and unavailability of medical equipment, biomedical engineers are looking for suitable solutions to personalize medical care. One of the suggested solutions is the use of IOT ( Internet of Things) technology. In this article, an attempt has been made to describe the tools needed by biomedical engineers to advance medical IOT technologies. In this article, an attempt has been made to describe the tools needed by biomedical engineers to advance medical IOT technologies. In this article, an attempt has been made to describe the tools needed by biomedical engineers to advance medical IOT technologies.

This article examines the intersection of medical robotics and the Internet of Things (IoT) in the field of health and examines the role of combining these two technologies in improving health services. This confluence has created new innovations in providing healthcare solutions that have crossed traditional boundaries and increased the accuracy and efficiency of healthcare services. Medical robotics improves health practices with greater precision in interventions and access to more distant locations, as well as the possibility of real-time data collection and analysis by the Internet of Things. This article evaluates the impact of this intersection in improving health services through greater accuracy and efficiency in robotic interventions and the possibility of real-time data collection and analysis by the Internet of Things. Also, the challenges and solutions related to this integration are examined and the future of the intersection of medical robotics and the Internet of Things in the field of health is predicted. This confluence of dynamics creates opportunities to improve the transformative power of the healthcare landscape.

This paper is aimed at studying a new approach toward strategy. Strategy and innovation in conventional terms are concentrated on creating ideas within the determined and organized framework of existing industries. Innovation is an accidental phenomenon which is achieved by a limited number of individuals inside a company. It is unlike competitive strategy by which the companies usually try to divide and own the existing values instead of creating them. The logic behind the strategy which is used in this paper is based on a number of fundamental principles that seek creating value for the customers and the company itself. Product development in Pilot Gas Company using Blue Ocean Strategy and enjoying the experts' views and management styles is what this paper looks into it. Studying the strategic map, quantitative matrix of strategic planning, elimination chart, reduction, increase, creation and the existing theories of Delphi sessions acquired by the company's directors made us try the new product of steam ovens using Blue Ocean Strategy according to the results of quantitative matrix of strategic planning.

Increasing the image resolution is very important and is used in various fields such as medicine, photography, and machine vision. It is possible to see more details of the image and analyze it better by increasing the image resolution. However, increasing the image resolution has also been associated with some challenges. Increase in noise, increase in artificial details, and high processing time are among the typical challenges. In addition, interaction with image complexities such as images with repetitive patterns and non-textured noises creates other challenges either. Image is divided into smaller parts using segmentation. Then, the images are combined with each other using the support vector regression algorithm and new images are created. A multi-stage process has been used to increase the image quality in this research and the pre-processing operation has been carried out in the first stage in order to improve the image quality. Three phases of training, testing, and parameter adjustment have been used after the pre-processing operation in order to increase the image quality. In the training section, the images are first converted to lower levels, and the color segmentation operation takes place at the lower levels. After the image classification operation in terms of color, the gradient is used to extract the image properties. The support vector regression algorithm was used to predict the image pixels, and this algorithm was improved by a meta-heuristic algorithm called whale algorithm. Evaluation parameters including PSNR and SSIM criteria have been used in this research that yielded promising results.

Skin cancer is the most common type of cancer in the whole world and it accounts for 75% of all cancers in the world. Different types of cancers can occur in the skin. The most common cancers are basal cell cancer or squamous cell cancer, but some of them are especially pigment cell cancer, which is one of the rarest types of skin cancer. Image processing is one of the fascinating technologies and sciences that has many applications and is used in many fields. In this context, we can mention identity recognition, face recognition, computer vision, classification and understanding of video and images, which are practical aspects of image processing. One of the applications of image processing that has developed a lot in recent years is its use in medicine and medical imaging. One of the important parameters in using computers to improve medical images is the detailed analysis of images. In many cases, the separation of similar lesions in different medical sciences is difficult and error-prone with the human eye, and the processing of medical images is supposed to turn these limitations into opportunities and provide qualified services to doctors in better diagnosis. Therefore, in order to increase confidence, you can use a computer and process medical images. In image processing, operations must be performed to prepare images, recognize and extract information.